Location – Bangalore Band – B2 Exp – 4 to 8 Yrs CTC 15 to 16 LPA Immediate Joiners Job Title: Cloud DevOps Automation Engineer with Ansible, Linux admin, power shell scripting or python scripting Primary Skill - DevOps , Python Automation, Bash/Powershell, Ansible (Advanced), Chef We are looking for DevOps Automation Engineers with back-end web application and systems-level experience to join our Fabric Development Automation team. Our passion for innovation and winning in the cloud marketplace is infectious, and we hope you will feel it with us. The Fabric Development team is dedicated to ensuring that the IBM Cloud is at the forefront of cloud technology, from API design to application architecture to flexible infrastructure services. We are running IBM's current generation cloud platform to deliver performance and predictability for our customers' most demanding workloads, at global scale and with leadership efficiency, resiliency and security. It is an exciting time, and as a team we are driven by this incredible opportunity to thrill our clients. The Development Automation Team sits at the center of our larger development effort. Team members work in areas that are used by the larger development organization and are required to work with developers and stakeholders in other teams to help solve problems. Roles & Responsibilities: Implement and automate infrastructure solutions that support IBM Cloud products and infrastructure Build & Set up test automation and pipeline frameworks Administer automated CI/CD systems and tools for development and test teams Support the compliance and security integrity of the environment Partner with other teams, managers and program managers to develop alerting and monitoring for mission-critical services Support development of new and enhance existing capabilities for our compute infrastructure services Provide technical escalation support for other Infrastructure Operations teams Required technical & professional expertise: 8+ years of infrastructure engineer with proven record for delivering high-quality, large-scale solutions 8+ years of working knowledge with one or more operating systems: RHEL, CentOS Linux, and Windows Servers Working knowledge with one or more Virtualization technologies: Citrix Hypervisor, VMware vSphere, Ubuntu KVM, etc. Working knowledge with one or more programming tools: Bash, PowerShell, Python, Ruby and Go. Working knowledge with one or more key infrastructure tools/products: Active Directory, Ansible, Chef, etc. Working knowledge with Container technologies: Kubernetes, Docker, etc. Working knowledge with Monitoring technologies: Zabbix, Splunk, etc. Working knowledge with Network and Storage technologies Working knowledge with ServiceNow, JIRA, Confluent, and GitHub Desired Additional Qualifications and Skills ("Nice to Have") Experience with Message Queues, PostgreSQL/MySQL Databases, and NoSQL Databases Experience with technologies enabling reliable data processing pipelines such as Kafka, Elasticsearch, Splunk; database and data visualization technologies for operations such as SQL dbs, Influxdb, Grafana, Kibana. Experience with event monitoring/management ecosystems like Zabbix, Nagios, Sysdig, LogDNA, ServiceNow. Skills: cloud devops , Ansible , linux , powershell , Python Scripting

Mongo DB Developer Exp 6 to 10 Yrs Location Pune, Hyderabad CTC 26 LPA MongoDB Physical Data Modeller Responsibilities: Develop high-quality Physical Data Models for MongoDB by analysing and translating provided Logical Data Models(LDMs) into practical, scalable schemas. Analyse and interpret Logical Data Models to understand their structure, relationships, and requirements. Work closely with business analysts and data architects to interpret Logical Data Models, ensuring a deep understanding of entity relationships, dependencies, and attribute definitions. Design, optimise, and implement efficient data models in MongoDB, ensuring they meet performance and storage requirements. Act as the bridge between database management, development, and infrastructure teams, ensuring that the data model aligns with application requirements and infrastructure limitations. Apply best practices for data modelling in MongoDB, including schema design, indexing and data distribution. Maintain comprehensive documentation of all Physical Data Models, schema changes and MongoDB configurations. Collaborate with cross-functional teams to gather requirements, align data models with business needs and ensure data quality. Provide insights and recommendations for MongoDB schema design improvements and enhancements. Guide junior team members and stake holders on best practices in MongoDB data modelling and usage, fostering a deeper understanding across the organisation. Qualifications: Demonstrable hands-on experience in designing, deploying, & managing MongoDB PDMs that support large-scale applications. Strong knowledge of MongoDB concepts, including schema design, index strategies, and query optimization. Ability to interpret and work with Logical Data Models to create scalable, robust Physical Data Models. Expertise in document-oriented database design, with a deep understanding of data normalization and denormalization technique specific to MongoDB. Proficiency with MongoDB tools (e.g., Compass, Atlas) and data modelling software. Ability to interpret complex Logical Data Models and translate them into efficient MongoDB Physical Data Models. Detail-oriented with strong analytical skills and the ability to work independently and collaboratively. Preferred Skills: Experience with other NoSQL databases or data modelling tools. Familiarity with industry standards in data modelling and database design. Knowledge of industry-standard data modelling practices and familiarity with MongoDB performance tuning, backup, and recovery strategies. Skills: mongodb developer , mongodb tools , mongodb pdm , mongo db data modeller , nosql databases , data modelling tools